
High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval (Adv. Sci. 21/2025)
Author(s) -
Zhang Shuhe,
Pan An,
Sun Hongbo,
Tan Yidong,
Cao Liangcai
Publication year - 2025
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202570159
High‐Fidelity Computational Microscopy In article number 2413975 by Liangcai Cao and co‐workers, a feature‐domain phase retrieval framework is presented for high‐fidelity computational microscopy. The quantitative phase imaging can be realized with enhanced accuracy and robustness. By leveraging feature pyramid extracted from the image, the proposed approach achieves improved noise suppression and resolution, making it ideal for biomedical applications such as cell morphology analysis and high‐resolution microscopy.
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